|
|
Absolute deviation, 绝对离差) m& d6 a$ R, b# P
Absolute number, 绝对数0 ? f$ \7 A# P% k+ A; ^; s
Absolute residuals, 绝对残差; D: l/ D' k, N% M7 [
Acceleration array, 加速度立体阵& L6 j! _ D: B* I* N
Acceleration in an arbitrary direction, 任意方向上的加速度0 c7 y) @9 T0 O& G* b N$ F& P
Acceleration normal, 法向加速度
; ~+ |* B# R: H, `. [- Y8 IAcceleration space dimension, 加速度空间的维数+ ]/ q3 H/ z# _/ T# b
Acceleration tangential, 切向加速度: ]) x: a$ N/ |( s& y
Acceleration vector, 加速度向量; L; P m: J& R+ O, N" Z
Acceptable hypothesis, 可接受假设
5 [+ D, |! Y+ V4 B4 K0 O- w5 FAccumulation, 累积; V/ u) U" h. N! S9 S4 T
Accuracy, 准确度 q4 V6 W. _5 }; ?- K: V
Actual frequency, 实际频数& q( X% F( x$ x1 B3 L2 l
Adaptive estimator, 自适应估计量1 l5 v$ Z9 C6 Q' h5 B" v. ^
Addition, 相加
4 f2 X( n% V! u* [5 O w6 LAddition theorem, 加法定理2 Z2 g: R8 {6 P6 E8 q6 M1 n+ O8 X
Additivity, 可加性9 r* t$ v6 ~6 I; f& X% A) |
Adjusted rate, 调整率# Z1 v( d5 D: }: S- \
Adjusted value, 校正值
5 i% L/ @! X+ }# p# q0 G- I: o1 bAdmissible error, 容许误差
5 k' i, q3 b) U4 d) v# ?Aggregation, 聚集性 L4 I6 \; y9 x. _
Alternative hypothesis, 备择假设
5 m8 O- i# ?: g- h) VAmong groups, 组间" F- A% \- j4 e6 {8 b( [0 V2 G
Amounts, 总量0 ~! d) R4 o( r7 F6 e2 I w
Analysis of correlation, 相关分析# N! G" u8 X, Q+ R
Analysis of covariance, 协方差分析' } X, c* Y: S) V
Analysis of regression, 回归分析" O9 E- k& H( p# c5 J
Analysis of time series, 时间序列分析
2 n( s+ z; w8 ?* @' U6 I$ HAnalysis of variance, 方差分析$ v O- o, T+ b+ Q
Angular transformation, 角转换2 v4 O) y) r! D/ m( c0 z
ANOVA （analysis of variance）, 方差分析
$ x6 B) q) L3 g6 b4 Y/ jANOVA Models, 方差分析模型
0 h$ b0 `- Q. e, M5 t# @' pArcing, 弧/弧旋 \: ?! C; y. r$ v5 U7 ~
Arcsine transformation, 反正弦变换5 F) q: _7 H3 D- _' b( W% C3 x! b7 z
Area under the curve, 曲线面积3 `$ M j2 m' }( g
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
! ~& L6 U; R- e, \) tARIMA, 季节和非季节性单变量模型的极大似然估计 3 f7 V- m! i2 c
Arithmetic grid paper, 算术格纸
1 m; w" u, m- T1 l# bArithmetic mean, 算术平均数
' {* t) O- k& _) i4 @% ^5 S/ E+ mArrhenius relation, 艾恩尼斯关系' j* }4 L q8 c) Q
Assessing fit, 拟合的评估" x6 c8 M* {1 N) g7 p
Associative laws, 结合律
, v, t0 b* `9 HAsymmetric distribution, 非对称分布# g& P# n) K: u& ^) X1 T
Asymptotic bias, 渐近偏倚
v( y) M& |# L; x \3 Y& iAsymptotic efficiency, 渐近效率
" t8 O& O& H6 g; v2 ]$ SAsymptotic variance, 渐近方差8 O/ q5 z, O) u4 Y2 R f
Attributable risk, 归因危险度
: L" C* e+ H0 X9 z) r" B6 v7 \& lAttribute data, 属性资料. R5 E- n s4 i8 s$ L
Attribution, 属性
1 L+ m0 m( T9 e* |Autocorrelation, 自相关
) B3 S" s3 D& V8 sAutocorrelation of residuals, 残差的自相关
8 `, i# F$ k; M6 O7 g" i0 N5 _; AAverage, 平均数4 b3 e' f* A. Y' D2 X8 k: b' L
Average confidence interval length, 平均置信区间长度/ U! E$ r) Y+ S8 v& ^. L2 m
Average growth rate, 平均增长率
* P/ P. x9 |; H" A# ] b5 WBar chart, 条形图- [! D: c" A' R0 }7 r& _$ e' _, h0 Y
Bar graph, 条形图/ q& q0 Q5 O F3 v4 u
Base period, 基期
. ~7 {4 @' {, `; _. X* sBayes' theorem , Bayes定理
- b/ L- L9 X) i3 J( b5 C/ ]Bell-shaped curve, 钟形曲线
/ E2 ^3 r6 E* \" hBernoulli distribution, 伯努力分布 Y( u: L8 N2 ?
Best-trim estimator, 最好切尾估计量9 }- d* p9 ~+ s. N& ?: H4 C f
Bias, 偏性
- w g) N+ q* ^Binary logistic regression, 二元逻辑斯蒂回归/ O! }3 K( M _8 W) O* d
Binomial distribution, 二项分布0 {6 V2 j$ v; E# r3 j, v+ e
Bisquare, 双平方
1 C; F" _3 q, t8 xBivariate Correlate, 二变量相关
6 F& O3 [2 @3 h6 \' _3 H$ fBivariate normal distribution, 双变量正态分布* J' r4 O0 q6 J; N. z0 F. I6 h- o
Bivariate normal population, 双变量正态总体
1 ~; [* @0 m" _Biweight interval, 双权区间% }/ ~3 u% B( g3 B
Biweight M-estimator, 双权M估计量
% l2 m6 z) Q0 H7 R5 ]( s! [Block, 区组/配伍组
2 O- D8 ?' w+ I3 h! d9 K. z" IBMDP(Biomedical computer programs), BMDP统计软件包* k$ Z* n+ L$ S9 v- \: [" i
Boxplots, 箱线图/箱尾图 I9 ]+ g6 `/ \$ J* v2 b
Breakdown bound, 崩溃界/崩溃点
3 o+ B. S% N0 [Canonical correlation, 典型相关 m" N [2 ]4 j7 L' a7 `+ s
Caption, 纵标目! L) D: \ A! s) l8 t" n! C
Case-control study, 病例对照研究
( X- {6 j8 Q3 iCategorical variable, 分类变量
6 q* s; u1 I6 w4 a$ R, g4 o4 Z0 F6 hCatenary, 悬链线) `/ k$ Q9 J7 g- a3 k
Cauchy distribution, 柯西分布 e9 z8 n1 o* g# Z' @
Cause-and-effect relationship, 因果关系
& l5 n* X4 o9 `; G5 I, a/ ZCell, 单元) o* ?. y% `! E* s# r! R
Censoring, 终检
6 Z; V1 D2 O8 @Center of symmetry, 对称中心9 a5 k4 f/ i7 Q1 M) E) V
Centering and scaling, 中心化和定标
/ w$ Z4 A" {& z8 ?# ~3 lCentral tendency, 集中趋势3 C. k V7 o# W. ^$ Q- l. v
Central value, 中心值
6 m$ Q |5 H' Y4 }CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测; I7 x( K+ [) A: w# W6 l- k1 x% i
Chance, 机遇. y3 ~6 I# `. m9 {2 T( `* C: Q
Chance error, 随机误差0 Q! M& U$ h, s+ h' h# `
Chance variable, 随机变量
+ H& G/ A5 N4 j# QCharacteristic equation, 特征方程' A( s5 N8 ~2 N
Characteristic root, 特征根. P. p1 d# X9 _
Characteristic vector, 特征向量
. ~, O( m6 m R4 V! JChebshev criterion of fit, 拟合的切比雪夫准则
. T0 @! r. n- o& |% u' j; ?4 E1 ]Chernoff faces, 切尔诺夫脸谱图
+ }9 T! a I% L4 W& \( n) ZChi-square test, 卡方检验/χ2检验
3 n5 R+ y& _7 Q' S& B6 pCholeskey decomposition, 乔洛斯基分解) @7 G+ x- O& a: t: R% W
Circle chart, 圆图 . t: @% y, y+ v9 O) c
Class interval, 组距
9 p3 Q2 B. ]! P( w: v2 `Class mid-value, 组中值
i7 R- l' @2 w5 \/ s2 `2 cClass upper limit, 组上限" S* j5 M- j# F0 H* X
Classified variable, 分类变量" _# s2 b8 ^7 n" p
Cluster analysis, 聚类分析
3 F( n. J3 P _! P/ pCluster sampling, 整群抽样
% C5 O- q0 J/ D6 T" O' ]Code, 代码0 q9 G( v7 O9 E W
Coded data, 编码数据
" m3 F5 D3 w" [: sCoding, 编码
; i" ?$ X$ I* s3 VCoefficient of contingency, 列联系数
y: o4 W- |) Z. GCoefficient of determination, 决定系数
2 ]% ?# a9 v2 w5 S" ]0 gCoefficient of multiple correlation, 多重相关系数6 N$ z7 k. P0 X) i& b! i
Coefficient of partial correlation, 偏相关系数
/ x, k; e! f8 R6 ~ t6 UCoefficient of production-moment correlation, 积差相关系数( I# O8 r% l" O9 k
Coefficient of rank correlation, 等级相关系数
. c! Y5 w% Y0 F' Y- `Coefficient of regression, 回归系数: a/ c. V i3 w3 N( X
Coefficient of skewness, 偏度系数7 e" u; Q& Y, [7 y
Coefficient of variation, 变异系数
6 F$ o2 _ ?4 Q/ K& qCohort study, 队列研究
& e4 e! ^8 T2 @) ?) BColumn, 列& {' R, z* F0 O- Z5 s0 G$ G
Column effect, 列效应% |. K. _$ x: t' k1 ~
Column factor, 列因素7 @) B+ X% S1 y* {" E' ^
Combination pool, 合并% r# B2 e/ u* _ k7 B1 L
Combinative table, 组合表
, j- i$ T8 \4 I- F( ]8 M) _' @Common factor, 共性因子
0 x% _& B3 N$ D* H2 [" dCommon regression coefficient, 公共回归系数& n# \) a; t& C, S
Common value, 共同值
( h. O3 G( h2 q# t. p6 _Common variance, 公共方差
6 {$ x" D6 j+ `Common variation, 公共变异" d) N1 k- i- h" _1 j5 ]! e+ t/ Q
Communality variance, 共性方差0 T( U: D" y, ^- A2 j |1 \% }" F% R
Comparability, 可比性
* y0 z6 c/ I+ ^3 L. ~Comparison of bathes, 批比较
; C4 L- ]' K& ^7 e- q+ AComparison value, 比较值
" Y2 D g3 u/ v) q3 F( fCompartment model, 分部模型5 j( w: ^% U1 k% }1 @9 I |$ X
Compassion, 伸缩" b! {' j, a& D, @; A
Complement of an event, 补事件
3 B, [# @4 _- F' I/ iComplete association, 完全正相关
* w+ v/ u- P! Q; J! rComplete dissociation, 完全不相关
/ Y- B3 C( c. S5 J8 t9 e# c9 pComplete statistics, 完备统计量
! N( }! @9 z: Q N9 gCompletely randomized design, 完全随机化设计! W9 ?# J; ^& \+ X6 ?
Composite event, 联合事件
" k! e. J6 Q) ~# P: xComposite events, 复合事件
' U9 h8 F- p3 \& Q1 CConcavity, 凹性. {7 F# ]5 t7 x1 A4 F( e* i1 I
Conditional expectation, 条件期望0 O" n6 f7 q: @5 j5 k$ Q
Conditional likelihood, 条件似然
* @8 b! g- M4 u' B [Conditional probability, 条件概率
% Y, r8 b$ R* c- }# ?5 o3 |$ ]- KConditionally linear, 依条件线性) C: \2 Y1 p/ F: E7 b3 O
Confidence interval, 置信区间
* \8 |, |% n1 i- \- ~1 j0 ~0 LConfidence limit, 置信限
E3 ^0 {0 t9 c4 Z- L) kConfidence lower limit, 置信下限
$ ] Q" N: |. Y! y! K# gConfidence upper limit, 置信上限
* L7 C0 y* x+ N5 c6 i% s( _3 p2 U+ DConfirmatory Factor Analysis , 验证性因子分析" o- [; @- ]9 o* K( D
Confirmatory research, 证实性实验研究
' K; a2 R% J4 a, { c2 QConfounding factor, 混杂因素. U' Y6 K1 w8 e
Conjoint, 联合分析6 d6 W- Z3 q8 R9 X
Consistency, 相合性
' `3 Z" d1 _- e% u3 L+ qConsistency check, 一致性检验
p. s. _, b+ V+ r% ?Consistent asymptotically normal estimate, 相合渐近正态估计
7 [! L- n# R* [& p1 _Consistent estimate, 相合估计
2 z/ @5 ^2 n8 p' q7 ]- HConstrained nonlinear regression, 受约束非线性回归# y. O3 c( ?4 l) ]$ m, `
Constraint, 约束, O3 `$ y7 o( k @3 W0 Y
Contaminated distribution, 污染分布
: ^9 c+ \8 k& {) i( QContaminated Gausssian, 污染高斯分布; c8 }1 K- n4 v2 i5 @; m! H
Contaminated normal distribution, 污染正态分布
! h, x( {; V T' [- V) @Contamination, 污染
' T. c7 b) p# l3 s8 H4 s/ g7 z9 T( LContamination model, 污染模型
0 H* F# k N7 f% _# \( NContingency table, 列联表7 [5 @8 W1 {0 r0 c1 c7 _
Contour, 边界线! ?- l* m! M' L3 Q! Z* s) R
Contribution rate, 贡献率& u' B1 H2 A/ k# f
Control, 对照& @; X) @" h5 a5 \' q2 P* R8 u/ Z; j0 p
Controlled experiments, 对照实验% G$ r3 P& n+ h9 l9 Q& _2 s4 Q
Conventional depth, 常规深度) [' I$ u7 x# J [: O9 l/ [) o/ l
Convolution, 卷积
. i! a( [7 v: d9 L# ]Corrected factor, 校正因子/ b2 V6 O+ N" [! A, I* Y) L
Corrected mean, 校正均值# ~5 H& v- H. Z1 U) A1 ^# N
Correction coefficient, 校正系数
K. q" l& L* j! I, l' Y' j9 @Correctness, 正确性5 n9 ?+ n. m6 x; u
Correlation coefficient, 相关系数
& o- v( O: ]- j# L' FCorrelation index, 相关指数, e: z. J% Q& A8 l6 X. f: h
Correspondence, 对应
3 N+ Y& l8 _/ ICounting, 计数
( ^$ R+ C r. ]% ^8 @Counts, 计数/频数3 F, Q! y8 t. s$ @8 j% G
Covariance, 协方差. o; [: G, f9 G$ J) p
Covariant, 共变 / C: G1 P% i6 ~$ g& A9 T8 g
Cox Regression, Cox回归7 E2 B* U7 y$ G
Criteria for fitting, 拟合准则
) ]6 T4 i0 p( l6 f/ C3 }6 mCriteria of least squares, 最小二乘准则
4 g& _1 ~/ r, ^4 Q/ v! kCritical ratio, 临界比
# T2 L. ^: V, N3 r5 ~+ \4 ]8 wCritical region, 拒绝域
, `; j; [& P- b5 J, i0 z; r# bCritical value, 临界值; G3 S2 a/ V9 W% t% [. I
Cross-over design, 交叉设计7 A$ \) d* ^5 N& y* f* O4 k
Cross-section analysis, 横断面分析' }0 E+ @7 |& g( G5 m, T- T
Cross-section survey, 横断面调查
! I; F) [" a1 U! k' O, z" H }Crosstabs , 交叉表
8 A( S, o& K ?+ c" R5 rCross-tabulation table, 复合表: b6 A; U4 w2 w3 p1 w" @% \
Cube root, 立方根
4 I0 ]- D& |7 `2 E# mCumulative distribution function, 分布函数7 k9 ?% i. e1 q! ?4 t' y V
Cumulative probability, 累计概率5 b* ~. u* [ y9 H. Z
Curvature, 曲率/弯曲
" V F4 R1 }7 o- W# c! @$ LCurvature, 曲率
7 n7 K2 O* H8 Z) c- FCurve fit , 曲线拟和
0 i8 b4 H9 u4 K) T1 Z) M) WCurve fitting, 曲线拟合
& j/ G, q' i+ L- lCurvilinear regression, 曲线回归
9 [. K4 r4 E% n+ N: B+ B! tCurvilinear relation, 曲线关系
; Y; s- b8 j. V, F- h, KCut-and-try method, 尝试法* r- i5 ?) [8 @9 |* c- h9 Q
Cycle, 周期
) ]7 P5 f" }4 s& b/ o7 WCyclist, 周期性
. \+ ]2 x/ } h1 V7 R0 e) F- v3 bD test, D检验
( i' f- s% Q5 M+ v$ ]0 pData acquisition, 资料收集
# _" K: R5 a7 f9 x$ S4 L' HData bank, 数据库
3 K5 j1 q1 w$ a J' S$ `Data capacity, 数据容量3 U$ F q6 P8 R3 |+ T
Data deficiencies, 数据缺乏
& n" C, p \# e* L: W4 AData handling, 数据处理
% ^+ f/ i5 ^& n/ B4 ?+ t: CData manipulation, 数据处理
3 | z q# Q' ?# \6 DData processing, 数据处理
3 Y3 T, c( Z' S* U; KData reduction, 数据缩减1 U4 u4 C: h" ~6 N
Data set, 数据集2 Q9 Q/ n' _1 d' J( ?
Data sources, 数据来源1 G: r5 L+ J+ d3 ]7 E. `; r; L3 e8 Y
Data transformation, 数据变换
: I( Y7 `$ C- Z6 ^/ qData validity, 数据有效性
4 P8 m$ b4 K9 f; J+ f5 jData-in, 数据输入$ x4 ]2 C; U% v! N2 \: N
Data-out, 数据输出
7 ?- C( U' u/ P+ c6 ?Dead time, 停滞期
& K }% w, ` n2 A A1 }, ?/ jDegree of freedom, 自由度( X! n5 S# w! M4 c$ O- X, ~: l6 i( M
Degree of precision, 精密度
6 C. B' k9 ]/ X% `$ J' ^" C) R. r( BDegree of reliability, 可靠性程度# b+ ~! ~, v, K1 `8 F2 G
Degression, 递减7 \ I' B" ]( t( g
Density function, 密度函数' D E }/ W. `" {
Density of data points, 数据点的密度
+ }8 v' x0 ]9 D; e; ZDependent variable, 应变量/依变量/因变量
0 ?, c" _8 A$ KDependent variable, 因变量$ S/ \7 U9 q! f$ R. i7 X$ _
Depth, 深度$ s; y! U$ F# ]+ F
Derivative matrix, 导数矩阵
/ D. b, |8 K- K. g/ \Derivative-free methods, 无导数方法1 p2 i% y7 D( q8 a. R
Design, 设计6 e; z; v) g3 C% L& g3 ` g7 V
Determinacy, 确定性
6 }) M5 j* k$ b2 |Determinant, 行列式2 T, R I: @1 b; h4 x
Determinant, 决定因素
, K6 u9 G+ Z6 b. QDeviation, 离差" u) b7 Y4 o9 K, s& L
Deviation from average, 离均差
8 t2 `$ t* n8 T$ q9 Z2 _" L; pDiagnostic plot, 诊断图. H6 e# t+ t' d* s
Dichotomous variable, 二分变量0 p+ |( S" Z6 O# s5 O5 k! w f
Differential equation, 微分方程
; a. [ ~: F) I5 {. X; P$ S% XDirect standardization, 直接标准化法
( W+ \+ N) [& u) t- G) fDiscrete variable, 离散型变量" n% i1 x7 I# ]" k8 m
DISCRIMINANT, 判断
. U3 Y4 ~- a, V- i) u/ @Discriminant analysis, 判别分析) z* P+ J# D0 X; o9 W
Discriminant coefficient, 判别系数$ T9 D4 [4 x1 @# s2 }) a$ v* G+ D
Discriminant function, 判别值
, u; _5 m9 l3 u+ i$ A8 |& ODispersion, 散布/分散度% A& {# q; @& z+ ^; O8 A4 \9 P
Disproportional, 不成比例的* W/ ?; P S1 J7 I8 a
Disproportionate sub-class numbers, 不成比例次级组含量+ M3 b$ \& p& M1 M6 Z
Distribution free, 分布无关性/免分布0 n6 ?" ]1 G. w" |1 f% q3 k
Distribution shape, 分布形状
& [5 m( @7 P/ z0 k, l( iDistribution-free method, 任意分布法
2 y( x1 R0 p, A- a* C% IDistributive laws, 分配律
& o2 z3 y8 i3 |- h! s yDisturbance, 随机扰动项
" r0 U+ z/ S, eDose response curve, 剂量反应曲线5 P( \: k5 h3 c6 }9 ]
Double blind method, 双盲法
5 [2 a: p' G7 `4 d9 ?( iDouble blind trial, 双盲试验- m2 i3 Z" R" M/ @4 \" Z/ s3 C* P
Double exponential distribution, 双指数分布' A9 B* t/ R# J/ Y. Q! k
Double logarithmic, 双对数- t* Z5 d' g! W. p
Downward rank, 降秩, j5 U( Z; D9 C7 _- ~
Dual-space plot, 对偶空间图
3 o! d+ r/ _6 A/ WDUD, 无导数方法& ~, R0 P2 j6 v
Duncan's new multiple range method, 新复极差法/Duncan新法
* t" z5 ~, Y# y5 a) t( `Effect, 实验效应; p |4 W7 Y0 l! I
Eigenvalue, 特征值
0 c9 H0 I2 r9 FEigenvector, 特征向量
6 S4 k6 H7 C+ v, vEllipse, 椭圆
6 |# M5 _) W+ h4 D t3 LEmpirical distribution, 经验分布
: @! C5 Z) q: n0 s/ Y* D4 {( yEmpirical probability, 经验概率单位* P: c& H5 D! z7 i& b
Enumeration data, 计数资料, k) }) B: M2 s6 |
Equal sun-class number, 相等次级组含量
8 }" g9 Z) M2 V8 kEqually likely, 等可能
1 ~ t9 L! l% L$ yEquivariance, 同变性6 ^3 M: l. u2 A& i
Error, 误差/错误
0 c' X* Z' x) r3 ?Error of estimate, 估计误差" h1 ^$ F' K' x/ s8 U& j* ]
Error type I, 第一类错误+ n3 `0 m& n5 V' W
Error type II, 第二类错误
3 u# |6 z' ^( DEstimand, 被估量3 B, K: b9 L, ^$ U p/ e8 h0 S
Estimated error mean squares, 估计误差均方
, y( d$ E G& b, f% k( qEstimated error sum of squares, 估计误差平方和
/ i) {, c, a4 TEuclidean distance, 欧式距离
1 d3 R- b/ ^, hEvent, 事件8 q/ z5 s/ p3 n4 s
Event, 事件! H4 R w9 T* x8 v' t
Exceptional data point, 异常数据点
( z; U' s- v: ^% C+ h8 [( [& UExpectation plane, 期望平面
$ J* X) N- j2 K: i# S5 P8 qExpectation surface, 期望曲面" V2 v w r0 K7 A
Expected values, 期望值" H- W! P( T2 T) ~
Experiment, 实验
, }9 R# [" p$ ]* dExperimental sampling, 试验抽样
# {) R9 ?# {5 q7 |' K$ GExperimental unit, 试验单位
4 r4 F* C5 V I& O# B& E9 m* rExplanatory variable, 说明变量2 |4 M. \" {1 R5 M! _
Exploratory data analysis, 探索性数据分析: s* h4 r2 I0 n8 f- B5 [/ l
Explore Summarize, 探索-摘要
( p1 b4 D! R: i' M6 OExponential curve, 指数曲线" a% }* z: M& I7 @" r
Exponential growth, 指数式增长2 z* A1 z0 e6 s
EXSMOOTH, 指数平滑方法 / q* V+ X! B4 S0 q9 }# [
Extended fit, 扩充拟合
' c8 k% V$ Q7 q+ e; xExtra parameter, 附加参数: D2 ? ]5 H2 {) J
Extrapolation, 外推法
3 R4 Y9 E1 {. g! V: O- BExtreme observation, 末端观测值- r% g. W! F: h1 u+ v+ b
Extremes, 极端值/极值) ^' z5 g' Q2 Q- L' P; L
F distribution, F分布
8 H' r# Q' X4 Q% u; p. B4 KF test, F检验- ?( o2 `3 V/ m9 `% c9 u0 V
Factor, 因素/因子
. y- Y/ |3 k/ x) J+ l' fFactor analysis, 因子分析
; A- u- T- a+ `, y- a5 z7 ^Factor Analysis, 因子分析. n3 ^+ L& }/ M# m: ~" i
Factor score, 因子得分
; x& H0 _/ u3 _0 K" {/ LFactorial, 阶乘
7 _6 \; q; U7 \ }Factorial design, 析因试验设计. b& R6 Z/ T! H6 H$ `. c4 w
False negative, 假阴性, H8 X& ?) p) R$ z" s$ H ~' S
False negative error, 假阴性错误3 A$ D7 ^( Z( W9 h9 M) k
Family of distributions, 分布族# ^5 A @) F$ |& z' K9 D0 h
Family of estimators, 估计量族
; ?, J: F2 J+ `% vFanning, 扇面
2 t* L1 e/ s! K9 q6 rFatality rate, 病死率9 D9 N ^2 R. M% _7 T
Field investigation, 现场调查
' `# O/ q( w; V5 Z, B: zField survey, 现场调查
- n$ m0 u6 z5 H6 h6 ?9 D1 Y# _Finite population, 有限总体
8 V- d! g- |+ z4 i6 ^ pFinite-sample, 有限样本
/ ^2 l" A! y1 r/ T( bFirst derivative, 一阶导数
" n7 X7 v; @, p1 P3 h6 |/ ~% y! }First principal component, 第一主成分
* J# n/ i/ y2 ?0 RFirst quartile, 第一四分位数' b6 z( E' C/ g. ~; P' M3 ^( G
Fisher information, 费雪信息量
9 o0 u! @* _0 F$ b! vFitted value, 拟合值
5 H/ l1 A. g) [; HFitting a curve, 曲线拟合
- Z$ `) S' O0 G# d5 d' X7 IFixed base, 定基7 ~; R; r) j# f: w% x2 J- K- \
Fluctuation, 随机起伏* x \0 B: A6 k( z* O! O
Forecast, 预测
$ {; d4 U6 w" a$ i) u d7 g/ \Four fold table, 四格表1 }! g( p! Y1 X# K/ e3 F! I
Fourth, 四分点, J( N0 X! f# v1 C& t0 M! G4 L, r. {. g
Fraction blow, 左侧比率7 R+ J6 y! _0 e5 x) \/ J
Fractional error, 相对误差
: z4 M; @" ]0 K0 h! i. W8 t: EFrequency, 频率
) u: o1 j' N8 p8 v& g1 xFrequency polygon, 频数多边图
' C5 O) g; o( x! RFrontier point, 界限点
$ `2 R5 x5 {& S3 Z) uFunction relationship, 泛函关系
; e. F' s7 F; O1 F" EGamma distribution, 伽玛分布
+ p1 p7 J6 b: M' l ZGauss increment, 高斯增量/ u& }- M5 w$ S7 K6 Z3 e9 |
Gaussian distribution, 高斯分布/正态分布( q2 x$ y- X+ [$ t/ O) Y
Gauss-Newton increment, 高斯-牛顿增量) [7 M) }8 y# |$ L5 H
General census, 全面普查 U6 H5 o) v! c0 G9 H2 r$ e
GENLOG (Generalized liner models), 广义线性模型 & E/ u- Q9 \/ F; ^& S; c
Geometric mean, 几何平均数 _0 O3 t) c! e. E( R
Gini's mean difference, 基尼均差- A, s. F8 }6 i; y# r$ n5 L# J
GLM (General liner models), 一般线性模型 0 E- M4 R ~* y5 O8 j6 s
Goodness of fit, 拟和优度/配合度
8 y3 E5 c% \) z$ N8 t" t9 q9 yGradient of determinant, 行列式的梯度+ y9 p1 t0 J& U1 r5 V
Graeco-Latin square, 希腊拉丁方# @) m! Q- m/ E- Z4 ]" X6 ]
Grand mean, 总均值
) p" F7 w3 _" V- g/ T! mGross errors, 重大错误- V5 ]' X g( a' c+ \
Gross-error sensitivity, 大错敏感度 R, T1 M( K" y8 p$ d* P8 C
Group averages, 分组平均
& q$ e4 i* ?, s/ w! g" h: q& VGrouped data, 分组资料9 g- _; e6 }- |) S
Guessed mean, 假定平均数
* N# B3 {" @0 ^% U Q7 Q( L7 m, d% JHalf-life, 半衰期
3 m6 X' `. m3 B* ?Hampel M-estimators, 汉佩尔M估计量
0 U; R6 r4 v! h9 X. \5 F3 LHappenstance, 偶然事件
+ N7 R& h( K' M. _6 YHarmonic mean, 调和均数
6 r9 r- v# v, R A2 m2 R$ M9 m9 uHazard function, 风险均数) D- P5 e: }: R$ N& r; d0 l
Hazard rate, 风险率2 c) n) [9 y* _
Heading, 标目
# q! ~- N8 Y2 F: o! w& w$ n7 L- iHeavy-tailed distribution, 重尾分布 @) \8 k1 u9 a1 S
Hessian array, 海森立体阵
$ G/ k9 r1 D3 C3 Q" d( AHeterogeneity, 不同质
" ~+ K; O6 Y M. }Heterogeneity of variance, 方差不齐 + K% Y0 t( U4 T ]2 w9 g
Hierarchical classification, 组内分组5 G) K+ ]- u- l; C2 ^# {
Hierarchical clustering method, 系统聚类法/ d: u4 y- O5 s5 g# M. r3 q
High-leverage point, 高杠杆率点' S4 \* y0 ^$ H& d9 l$ O
HILOGLINEAR, 多维列联表的层次对数线性模型; X b0 `. K1 K2 G' A7 l$ j
Hinge, 折叶点& C9 B9 a0 v B
Histogram, 直方图( }2 r5 k6 B: h: s- N" I: m( ]8 O
Historical cohort study, 历史性队列研究
) n& U, x. i% O+ ]1 t; r" p! GHoles, 空洞
3 F! J) |7 u) Z% bHOMALS, 多重响应分析/ X4 P/ ]8 n6 _( {, ]
Homogeneity of variance, 方差齐性
* c! V" @! F6 T% d- WHomogeneity test, 齐性检验
. j" R, x2 w2 ~! `) r4 f: tHuber M-estimators, 休伯M估计量7 O( e. V- f# R
Hyperbola, 双曲线
9 r) F1 u9 V4 S" X7 oHypothesis testing, 假设检验; r7 C' [! M$ y; P8 M' R
Hypothetical universe, 假设总体" t0 i0 O; H _: p
Impossible event, 不可能事件/ E. D7 g# n* j# R
Independence, 独立性2 e0 d1 Q C9 n4 ^& \2 B* f
Independent variable, 自变量
7 Q0 _, z" ~, M1 w4 vIndex, 指标/指数# \+ _3 i6 \' o. Q+ c2 o3 |- i
Indirect standardization, 间接标准化法) d5 f' ]+ h" z7 k, g; b5 `* p
Individual, 个体
0 c* [# a2 E5 u! UInference band, 推断带
$ U9 D2 s) T. f! W. @6 bInfinite population, 无限总体
+ P+ Q% G3 Y) ?% v0 ~3 nInfinitely great, 无穷大/ g" t( k( j! G8 Z5 J% y% ^
Infinitely small, 无穷小1 p( a0 K. @: q% W3 w
Influence curve, 影响曲线
) J: v+ t( y4 N, ]6 u1 DInformation capacity, 信息容量/ A! O) a$ G2 M9 q6 T% ]7 l
Initial condition, 初始条件
. t6 R$ U1 z* k0 \! u: n; u# TInitial estimate, 初始估计值. y6 r9 O+ S( O7 L7 \
Initial level, 最初水平7 g+ w: h7 ]$ p d/ ~
Interaction, 交互作用: S5 \( V$ L1 x, j; r
Interaction terms, 交互作用项
. ^& H K* G$ Y8 s- y- _Intercept, 截距! g0 U; c3 Z. O1 T1 ?8 m' ~
Interpolation, 内插法- r- p5 N" R o0 z7 }+ [* O4 Q
Interquartile range, 四分位距7 T* @, ?5 _* N! ?' O" A8 f2 U7 C
Interval estimation, 区间估计 P3 h1 H& `6 a! J4 _
Intervals of equal probability, 等概率区间1 @- E* E" c+ ~8 W( G
Intrinsic curvature, 固有曲率. a# p9 g, s' H/ a
Invariance, 不变性
0 I6 w# s, s2 `6 H4 [" Q5 _Inverse matrix, 逆矩阵
; j8 Q' W6 ^) gInverse probability, 逆概率
! o# H5 B" H3 Y4 V& t5 G# F, wInverse sine transformation, 反正弦变换% u, ?, r, \0 ]6 w8 p' A/ n
Iteration, 迭代 % [9 |% i, v, V9 r- }
Jacobian determinant, 雅可比行列式9 ^# G+ f3 S6 q
Joint distribution function, 分布函数
1 a& W# s! p- W3 w, E- ?' W0 N& hJoint probability, 联合概率
( D' }$ n4 c' m5 `8 n4 K( ]( j) i: P2 aJoint probability distribution, 联合概率分布
% ?+ x8 w( T$ CK means method, 逐步聚类法
- S; A' c P2 R( CKaplan-Meier, 评估事件的时间长度 z# @( ^0 J$ z6 W) ^
Kaplan-Merier chart, Kaplan-Merier图
. m" ~, n' R0 T7 @Kendall's rank correlation, Kendall等级相关
+ l0 q, y2 `) b MKinetic, 动力学. x' h8 N3 O+ }, O) H6 I
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
* M3 ]( S( x3 u7 A! p9 }Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验3 d; f% {% W% K, j- w2 T% H- `
Kurtosis, 峰度- L; N3 Y+ ?9 E+ [ C% h0 f
Lack of fit, 失拟* w# C0 |: w+ `4 D+ a. w
Ladder of powers, 幂阶梯' d1 L4 C& c j |0 ?! C4 l3 N0 [9 T
Lag, 滞后
5 B! \; }+ k- d& J4 n( rLarge sample, 大样本 h+ d$ x: e: d! D0 b8 _' \9 ?- i
Large sample test, 大样本检验5 O8 b" `$ W; Z2 m1 d# i
Latin square, 拉丁方
( ?6 ~6 f, H9 k2 BLatin square design, 拉丁方设计( J& ?) v* n/ x% u% ^
Leakage, 泄漏
; e2 {! y5 _% T7 A: C2 SLeast favorable configuration, 最不利构形
8 C/ F D' J, PLeast favorable distribution, 最不利分布* ]& e. A; r+ D
Least significant difference, 最小显著差法
+ q1 H( @ C, I; D( R3 g: W' mLeast square method, 最小二乘法( n# s! f- k9 J7 e' u7 m
Least-absolute-residuals estimates, 最小绝对残差估计
0 Y" L3 o+ N% l2 Y8 ?Least-absolute-residuals fit, 最小绝对残差拟合9 i2 Y5 O% q+ ]. l% r, l" @$ ^
Least-absolute-residuals line, 最小绝对残差线
; R* W, Q0 I; @) X" aLegend, 图例
' Y# m( }" D, ~' y, V6 sL-estimator, L估计量# k6 X K# D- P0 z5 v
L-estimator of location, 位置L估计量% m, @3 {2 [1 F/ k8 `$ O
L-estimator of scale, 尺度L估计量
4 Z* l5 o1 L4 E8 B2 n9 z8 @Level, 水平4 g. m" \. T: W `% B
Life expectance, 预期期望寿命1 V0 n9 t: \2 {& y E1 S; }! \
Life table, 寿命表; Q9 j* O) Y4 S( a+ m! l
Life table method, 生命表法
& P- e0 ]2 T$ @" s& `# x+ dLight-tailed distribution, 轻尾分布/ |) t5 s9 R1 X5 C9 w
Likelihood function, 似然函数* J8 y7 e& ^) P0 W" r( p |
Likelihood ratio, 似然比
7 `% I# M, k. b$ Aline graph, 线图
. t, u7 o9 l+ z" T% B3 h: jLinear correlation, 直线相关6 Z2 v- X' d2 _, f1 V
Linear equation, 线性方程
/ R" m6 o1 o- C3 _) `Linear programming, 线性规划8 X$ V9 }4 l S
Linear regression, 直线回归" o& M% ?- z" Z# |0 X. K4 r
Linear Regression, 线性回归
\( m ^. D3 Z. FLinear trend, 线性趋势
4 y, D) V. }6 h) u5 y2 Z3 s! f& CLoading, 载荷 - d0 o" U+ P6 d; E2 N
Location and scale equivariance, 位置尺度同变性3 _% A7 j- u D
Location equivariance, 位置同变性" A. t1 E3 W+ S# p% `9 D j
Location invariance, 位置不变性4 J& o8 e$ G& _! Q8 a f3 M
Location scale family, 位置尺度族
8 ]* Y( c( }0 o4 A+ {9 J1 Z0 s# f! pLog rank test, 时序检验 $ r; p' i, r' {
Logarithmic curve, 对数曲线
- `. W1 C1 Y8 |: R- nLogarithmic normal distribution, 对数正态分布
& O! L. x; U8 P& M* @" FLogarithmic scale, 对数尺度
3 S; H4 `- e0 p' L l0 [Logarithmic transformation, 对数变换: S# q: i5 K* Z, S F8 J
Logic check, 逻辑检查/ G: n8 P% T( v3 n
Logistic distribution, 逻辑斯特分布, u: \) n$ d2 J; `
Logit transformation, Logit转换
) H* D* x/ I" V7 d5 J. iLOGLINEAR, 多维列联表通用模型 8 [ a3 A" \& @# w1 Y; ^
Lognormal distribution, 对数正态分布6 t! L# O. Q: m' ]& t* ^. |
Lost function, 损失函数
" }# T1 I& e: s' a0 KLow correlation, 低度相关
: }- J0 T* e+ w* q6 m1 \0 ~ I- GLower limit, 下限
) m+ r+ ?5 ~0 Q7 f: uLowest-attained variance, 最小可达方差, ^& ~2 j2 J b# Y
LSD, 最小显著差法的简称$ R2 x0 o9 k5 A" m; g
Lurking variable, 潜在变量. E' e6 x1 q' ?/ |4 N# y
Main effect, 主效应3 U9 ]( @. w" H, t+ W3 D: A2 V0 S, \
Major heading, 主辞标目5 S! @# E5 V5 {, |0 h
Marginal density function, 边缘密度函数# c; }/ n/ I/ l m4 e
Marginal probability, 边缘概率
4 p- v; n' ?6 R; {. pMarginal probability distribution, 边缘概率分布) S2 s3 Y3 |# a1 Y9 u* f/ y
Matched data, 配对资料
% M2 e' B$ P: cMatched distribution, 匹配过分布
8 }, a3 ?% `0 AMatching of distribution, 分布的匹配
$ w X; M% A; Z; aMatching of transformation, 变换的匹配0 p2 M6 e! q* S- m6 V
Mathematical expectation, 数学期望
, V! t% `' o+ x/ V3 V9 C0 ?Mathematical model, 数学模型! q7 y% G1 d Q1 _ }" @
Maximum L-estimator, 极大极小L 估计量( b# R2 S O/ B, e: @
Maximum likelihood method, 最大似然法
( a* g8 f8 `( _$ n, f$ i8 {Mean, 均数' I1 N+ X9 ~/ W
Mean squares between groups, 组间均方1 Q$ j- O& [' H; ~5 U
Mean squares within group, 组内均方" G1 J0 X6 N0 B! l8 l9 |2 J
Means (Compare means), 均值-均值比较
5 [# B- j% O0 }- z% i, p& a( FMedian, 中位数7 m$ t# v. ], g4 _+ Z3 E# _5 Q
Median effective dose, 半数效量4 i6 m. h$ _7 u* G: F% H# ?
Median lethal dose, 半数致死量1 @3 v$ w& i& h! a- D2 C# ?
Median polish, 中位数平滑
/ C7 u9 T- _* e1 {Median test, 中位数检验
- t" ~$ q* K/ }Minimal sufficient statistic, 最小充分统计量4 |+ u- H/ u' ^3 \! x
Minimum distance estimation, 最小距离估计. n( v* f9 M# E c, [# L7 w
Minimum effective dose, 最小有效量0 W, t) x& e# E4 N+ G% E4 Q9 G
Minimum lethal dose, 最小致死量
2 q$ x7 e1 |" b8 x; `Minimum variance estimator, 最小方差估计量
% N7 z! Q) h/ B) i1 r/ iMINITAB, 统计软件包9 F( g2 j% S2 n d: }! ^0 X) i
Minor heading, 宾词标目5 C: Z" ?2 ~5 y6 [
Missing data, 缺失值
% j7 U' O, M7 c4 x8 R" VModel specification, 模型的确定
1 s+ {% H* X7 c% t+ o6 TModeling Statistics , 模型统计1 ]1 n+ G7 S; d7 A4 \2 p
Models for outliers, 离群值模型
+ I7 i: B' s( ZModifying the model, 模型的修正1 Z: S4 B0 S: L1 V* U
Modulus of continuity, 连续性模
9 l) r/ G$ h& d* Y* F, U% eMorbidity, 发病率 5 }4 o9 `9 ]/ u
Most favorable configuration, 最有利构形/ [; {; {% o5 o$ M, Q4 L- d
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
4 z" V6 o& |4 }0 F. K8 `Multinomial Logistic Regression , 多项逻辑斯蒂回归3 z5 \& y3 Q" P2 E- J9 v4 v
Multiple comparison, 多重比较/ n7 k& ]3 ]4 D; } e
Multiple correlation , 复相关
4 Q8 j) l4 U- f' l" Z6 bMultiple covariance, 多元协方差0 x; o$ s0 T/ ^/ ]
Multiple linear regression, 多元线性回归) B5 J9 A" Y" ~! B
Multiple response , 多重选项
( m; f K5 E" a% M/ oMultiple solutions, 多解' _& X& [8 d! ], m
Multiplication theorem, 乘法定理
- r6 j6 P& X5 V- v" ]9 i: AMultiresponse, 多元响应
0 N; N* K+ M4 ?0 r7 @% s+ n* W* h+ G! hMulti-stage sampling, 多阶段抽样
: P \) x+ W0 R' N; b9 ~! cMultivariate T distribution, 多元T分布: j3 `- V4 g4 e; C+ U
Mutual exclusive, 互不相容
- g/ U9 w7 K# R# U) V& LMutual independence, 互相独立
- t4 K3 Q( w4 N0 @Natural boundary, 自然边界
6 ]6 r' m7 Z# Z S5 u, [! Z; cNatural dead, 自然死亡
) y1 e" q6 ?8 q; K. z: H& cNatural zero, 自然零
" d8 D( r0 u5 a2 k5 H1 y! Q" kNegative correlation, 负相关
. G5 B% g1 G9 T; J$ o: nNegative linear correlation, 负线性相关
0 D. h5 {; V+ Y+ A2 TNegatively skewed, 负偏
4 K* {+ ^+ [4 y/ M( }Newman-Keuls method, q检验
1 Y, y, T6 A7 mNK method, q检验
( r* R6 ~0 t* dNo statistical significance, 无统计意义; \5 Y3 K; G& w
Nominal variable, 名义变量: |" y S' E9 k% W# F2 ~. U* U4 e
Nonconstancy of variability, 变异的非定常性) B# f; A; j- O( s
Nonlinear regression, 非线性相关3 ]7 ]$ ^; E2 H; T; W) S
Nonparametric statistics, 非参数统计
8 M' ~7 n5 D9 E pNonparametric test, 非参数检验6 W/ b" R0 ^1 E0 \8 i; ~
Nonparametric tests, 非参数检验7 t- W) G6 @2 z+ M8 t8 w
Normal deviate, 正态离差8 O$ C' w6 ~1 n( ~+ q
Normal distribution, 正态分布
t% ?' d7 D1 SNormal equation, 正规方程组7 R9 e+ N. I; C4 x
Normal ranges, 正常范围
6 V3 V! K8 E. g! W. t2 rNormal value, 正常值5 W7 R3 P5 a" O# K+ [( J" [+ n: V
Nuisance parameter, 多余参数/讨厌参数; k, o6 `0 e8 h
Null hypothesis, 无效假设 / \$ n2 o7 X! V/ [3 @0 }
Numerical variable, 数值变量% P- \5 j! P$ C& y- t f
Objective function, 目标函数
( ^$ m' W- u7 h7 t0 [& C4 uObservation unit, 观察单位
. V' y1 t. j+ |/ O& ]Observed value, 观察值/ \6 L5 p( Y1 z( [' O# R8 C5 D- J, Y
One sided test, 单侧检验; e2 n- t" W6 B# S
One-way analysis of variance, 单因素方差分析" F R5 g& i% M+ S
Oneway ANOVA , 单因素方差分析6 W1 o* ^0 |5 T, o+ M5 _
Open sequential trial, 开放型序贯设计1 @( D0 r: s4 r4 B
Optrim, 优切尾% x6 \+ B* M( Y+ J* T
Optrim efficiency, 优切尾效率7 i9 I" i8 B+ L4 C8 [
Order statistics, 顺序统计量
3 ]! m; b7 w0 t1 ~Ordered categories, 有序分类
6 d( y6 z4 Z3 M! W0 i0 MOrdinal logistic regression , 序数逻辑斯蒂回归
3 O R% u- T4 N/ }Ordinal variable, 有序变量
8 B- W# X: e0 K. G$ u1 x# h& WOrthogonal basis, 正交基
8 q; C1 g' {3 YOrthogonal design, 正交试验设计
! A0 S& R: h( x* d \ }Orthogonality conditions, 正交条件# M2 L, ?! @3 n" S. Q1 N; F
ORTHOPLAN, 正交设计 6 K9 I$ E3 Y' u" P1 ~: f
Outlier cutoffs, 离群值截断点$ l% D4 g) n! M W
Outliers, 极端值
8 I. l9 T4 q; }: s8 |( AOVERALS , 多组变量的非线性正规相关 : |, K) M, p# c3 y# d% M& [$ M, m
Overshoot, 迭代过度! y) u( q9 x h' X: U: z, q7 `
Paired design, 配对设计
0 s# w7 _/ e8 Z$ ~' H! aPaired sample, 配对样本( f8 \4 l7 H. Y6 i5 H3 D4 S6 m# T1 |" \
Pairwise slopes, 成对斜率
2 S4 b1 v( t( a( cParabola, 抛物线
6 d& F b$ d! ^& xParallel tests, 平行试验
7 |( _6 H# T" `+ u0 aParameter, 参数2 X& L* {" o) I
Parametric statistics, 参数统计6 \' l# E/ z0 ?# K4 Y( b
Parametric test, 参数检验
) R& ^/ Q' U, w: f/ W4 ]Partial correlation, 偏相关1 |7 W2 ?6 {( b& N" W8 L
Partial regression, 偏回归
/ u/ P- u1 V/ L9 @0 cPartial sorting, 偏排序3 S& N4 `' p& P
Partials residuals, 偏残差
! V+ ~0 p/ ?$ e; zPattern, 模式4 M1 y' Z1 Y2 J4 N# s7 D1 t
Pearson curves, 皮尔逊曲线2 J5 W: w1 L$ t" n4 k
Peeling, 退层
) F" v5 K! c6 L/ p8 y. P$ YPercent bar graph, 百分条形图( T) E) |7 G2 O& p+ p
Percentage, 百分比% }" S/ o% i' |$ w
Percentile, 百分位数
7 h# H+ |7 Y1 G4 h. F3 yPercentile curves, 百分位曲线
3 C2 T. s2 E& A* [+ GPeriodicity, 周期性
1 l+ D, v6 N7 _2 j) _) f) s yPermutation, 排列
9 H) Z. b w0 t$ ZP-estimator, P估计量, v8 e3 R" t8 c
Pie graph, 饼图" m+ _3 i( [* P. A
Pitman estimator, 皮特曼估计量" q' v8 C2 Z! q
Pivot, 枢轴量
8 S+ F4 E; n* I$ H3 mPlanar, 平坦- a" d( z7 i' h: z
Planar assumption, 平面的假设
, _% M1 Q6 I6 x5 _' gPLANCARDS, 生成试验的计划卡
. _) x s4 G, e3 |. NPoint estimation, 点估计6 O1 V7 t C1 | l# H
Poisson distribution, 泊松分布- c4 n0 F3 T' Q. c* k# @2 c
Polishing, 平滑
7 P d; S: J, |4 dPolled standard deviation, 合并标准差
. p% g7 Y! Z/ ?% {% rPolled variance, 合并方差
r0 Z1 Z8 ]& b0 `# |3 JPolygon, 多边图
& l5 F' X- X' Z& Q1 QPolynomial, 多项式7 D* z4 h; Q4 ?% P( Z, l
Polynomial curve, 多项式曲线7 L" q; Y& C4 Z6 Y; O. E
Population, 总体
* \/ a9 m4 J3 ?# YPopulation attributable risk, 人群归因危险度9 K( T7 v8 W: P! n4 G; l
Positive correlation, 正相关
8 o2 s0 ?; U N2 m5 W1 U _( s! SPositively skewed, 正偏
8 Y. N/ ]$ W; W, L+ p3 ^1 G) X& F) fPosterior distribution, 后验分布
, N+ w9 D) D, xPower of a test, 检验效能
3 f, [8 i8 L1 [Precision, 精密度
9 ]2 C( i$ K! U: y4 @$ \Predicted value, 预测值* y* e) X. G# R- S' B! x
Preliminary analysis, 预备性分析
! }! P; \% x& C" iPrincipal component analysis, 主成分分析
" f' i" V* _9 s2 ~Prior distribution, 先验分布
5 E! t+ C0 G' V4 ~Prior probability, 先验概率! R2 b. K2 H) u% G$ r# H: Y/ L
Probabilistic model, 概率模型- G2 P9 P5 s9 n! E1 M7 H, i
probability, 概率. ~) L; D# _ J3 B, L! K
Probability density, 概率密度
9 c2 m2 B9 S: n# Q/ @% WProduct moment, 乘积矩/协方差
0 }/ O- ]/ z- ~* k, jProfile trace, 截面迹图; x6 K6 I' s0 y7 Q, U- O- {
Proportion, 比/构成比. M% k8 O0 {4 o: E$ x& M
Proportion allocation in stratified random sampling, 按比例分层随机抽样
6 D2 x( [2 V+ X8 S+ B; n& BProportionate, 成比例- X, S. {* d, T" r& o# ^, `
Proportionate sub-class numbers, 成比例次级组含量% G3 V b# E: V! ]* f% X8 r& b* ?
Prospective study, 前瞻性调查
4 Q" A; H; ]! TProximities, 亲近性
0 ~3 S8 T P- A* e$ VPseudo F test, 近似F检验
' a' Y( i% O6 t" ?' s2 WPseudo model, 近似模型- V" S" f0 d i( b; ?- }
Pseudosigma, 伪标准差
. ]. a% ?/ E9 a% t/ ~Purposive sampling, 有目的抽样
, {$ `, s3 v4 P" j) f6 i( MQR decomposition, QR分解/ Q) ~0 \* D" h3 `
Quadratic approximation, 二次近似) P* [7 R w1 q4 u0 b8 a5 n: _2 A
Qualitative classification, 属性分类* r- n6 j2 c. H/ A: ^: c. R! [
Qualitative method, 定性方法
" C+ d: G5 p' a4 P @Quantile-quantile plot, 分位数-分位数图/Q-Q图) }' l7 U7 V( D. n9 c) O( F. {
Quantitative analysis, 定量分析
' ~- w1 n' O. J Z7 b \. cQuartile, 四分位数8 i% s4 G4 y& e% u1 C- v
Quick Cluster, 快速聚类
1 N; m! }2 O7 QRadix sort, 基数排序
+ b# F% H$ f* S5 f9 ZRandom allocation, 随机化分组
( _, c* M+ J X, W* B" y; vRandom blocks design, 随机区组设计- h* }9 h! d/ o, d1 T1 N
Random event, 随机事件
/ _4 Y5 w+ Q) DRandomization, 随机化' \& N7 P% u1 {0 y8 ]
Range, 极差/全距
. M; p1 W7 z$ cRank correlation, 等级相关
; \2 {% C B8 A0 I$ }: k D3 G2 |6 f' tRank sum test, 秩和检验
- ^3 O8 [0 _" |Rank test, 秩检验2 V( a4 H5 V: z7 F
Ranked data, 等级资料
0 C s$ o( z6 \- y- }1 h, L6 {Rate, 比率
n1 X8 H! I% r' d" I" MRatio, 比例
" s g6 n: g$ G- \Raw data, 原始资料
1 z: n7 E7 m0 j; g+ BRaw residual, 原始残差
$ w5 j' Q% T8 i; S0 ?7 ?0 xRayleigh's test, 雷氏检验
0 f' y4 U6 X5 `. kRayleigh's Z, 雷氏Z值
& O, X4 Y) H6 UReciprocal, 倒数& [) s+ |; f1 v, S( L
Reciprocal transformation, 倒数变换& R) d, m: u& Y$ W- [
Recording, 记录
( D0 _( Y2 k/ t5 RRedescending estimators, 回降估计量
C& Z* @+ O6 P4 gReducing dimensions, 降维2 ?- G g* w4 Q! u! \; w
Re-expression, 重新表达( j0 h+ V% B$ z0 u) i a! w
Reference set, 标准组/ l- y5 u7 q% `) H3 @" L# v
Region of acceptance, 接受域
" P, ^2 V0 O R1 A$ [Regression coefficient, 回归系数5 G: i& R5 D" J6 L( m
Regression sum of square, 回归平方和
- D* \8 `! X. w( v# \Rejection point, 拒绝点6 y8 D: M9 ^- T
Relative dispersion, 相对离散度1 E1 B" P" n8 y# B
Relative number, 相对数
. b2 U( r$ _3 P4 z2 i, ?Reliability, 可靠性
5 \9 K1 _9 ^6 d. x- J BReparametrization, 重新设置参数
: u: E7 p$ j8 M+ `: Z( cReplication, 重复* {8 l# t; `7 g2 x2 m
Report Summaries, 报告摘要! Y3 W1 z' J9 x7 Q: \! t
Residual sum of square, 剩余平方和2 E! G! _9 k# l% U% r) S
Resistance, 耐抗性
* o! C, ]! i! C" k; mResistant line, 耐抗线- h$ v$ t1 Z% j! b
Resistant technique, 耐抗技术
0 k7 M1 `6 j8 C1 K! a+ j. y zR-estimator of location, 位置R估计量
, ?% C% v3 X k* Q8 a: D; ER-estimator of scale, 尺度R估计量
/ ^) l" y1 S" Z1 {# L- [- d$ @ qRetrospective study, 回顾性调查$ j6 F7 |# E& X, N0 ~* v1 C
Ridge trace, 岭迹
% B8 C, X! ^/ i0 }! n$ n! w4 }Ridit analysis, Ridit分析/ k* ?: A4 c J5 w
Rotation, 旋转; ]/ k* L' ?, k$ E
Rounding, 舍入/ v6 G/ ]6 U `1 `
Row, 行
3 C6 X% X9 _% ~- w2 ^* CRow effects, 行效应
+ k2 Q# _+ y$ P- u; A. ZRow factor, 行因素3 [7 @" ~6 r3 i X
RXC table, RXC表- I2 v f7 Z# L
Sample, 样本& A6 j+ @$ V4 Z
Sample regression coefficient, 样本回归系数
9 H. `1 s+ ~5 ~8 V- N, _Sample size, 样本量
Z; ?& E. t1 ^0 p8 a- ^% ^' kSample standard deviation, 样本标准差1 t5 |! r% c1 B( ?/ h% E1 X0 D
Sampling error, 抽样误差
2 a- ^# q2 g) B* LSAS(Statistical analysis system ), SAS统计软件包
3 W, m. b& e5 {# m/ V" o# p4 C- vScale, 尺度/量表
1 u+ X$ z0 f( y8 bScatter diagram, 散点图$ S4 ]! |' C5 N
Schematic plot, 示意图/简图/ T+ M8 ~0 A* I+ a3 v
Score test, 计分检验
; y) k* T7 ]3 N h* NScreening, 筛检 l! n/ H% M' t3 |) n
SEASON, 季节分析 1 a3 |' P* P5 ]+ B+ c2 [0 w
Second derivative, 二阶导数
0 K3 J/ |/ d2 D' I" Q8 BSecond principal component, 第二主成分. P& U" |* i* { ?
SEM (Structural equation modeling), 结构化方程模型 . D- m2 s( Q# [0 K0 b s# T
Semi-logarithmic graph, 半对数图! T9 y2 g' g- L# [
Semi-logarithmic paper, 半对数格纸
, @/ V& p" F2 JSensitivity curve, 敏感度曲线8 d- H, `; Y3 Z+ m1 `
Sequential analysis, 贯序分析
1 B% S8 H+ b, \3 D& m5 T6 PSequential data set, 顺序数据集
; e; @0 E; o4 b) j6 ?9 f4 GSequential design, 贯序设计
" c7 _# ~' l! l2 N( Z4 VSequential method, 贯序法
) r7 |; Z9 B6 i* f/ L. mSequential test, 贯序检验法: k: d4 A9 P7 y. f. B/ z
Serial tests, 系列试验
0 h5 N# U0 z" E) [$ x7 V. A! }Short-cut method, 简捷法
M1 h+ |# o4 e k7 iSigmoid curve, S形曲线0 E# ^7 P' V9 C) ]% B% ~
Sign function, 正负号函数
7 a" r9 X* Q* A O- H/ vSign test, 符号检验
8 d7 E& v$ o w+ e! i3 h |Signed rank, 符号秩
/ M& T1 J' u" ?: w" K8 M- H+ u6 KSignificance test, 显著性检验
6 M9 c: W0 A- ]1 Q/ m: oSignificant figure, 有效数字$ V) Y0 l8 n/ h: _: P
Simple cluster sampling, 简单整群抽样+ Q$ B F$ h7 v0 J5 M
Simple correlation, 简单相关+ U. y6 k9 ^5 J, p o8 Y* f. e, W
Simple random sampling, 简单随机抽样
" i' b1 [. E8 ~0 n! x3 L6 v8 wSimple regression, 简单回归
) i: m0 U r4 I2 q X& y7 o' C5 Vsimple table, 简单表
% U1 [6 K7 G$ b3 WSine estimator, 正弦估计量
/ O: F! m8 x: _: a6 U3 @Single-valued estimate, 单值估计
: o, O# A7 y/ ? @% O0 Q0 h' q7 tSingular matrix, 奇异矩阵0 l& S" u( m z) A* R) Y
Skewed distribution, 偏斜分布6 m7 t2 i5 c$ |$ w/ ]5 w! @2 ~7 W8 t+ I
Skewness, 偏度4 J7 w2 m9 r) ], i- M0 `
Slash distribution, 斜线分布4 j( f ~9 C) @8 t
Slope, 斜率
! C9 U& U; _* C: s7 F* TSmirnov test, 斯米尔诺夫检验
* i" T# I+ ?% k- n! z' i- c( y+ ^Source of variation, 变异来源/ y( a! {$ [' Z' i' B% l
Spearman rank correlation, 斯皮尔曼等级相关
4 ]# Z2 ?1 V7 B- h8 H8 s4 vSpecific factor, 特殊因子( G' @/ {+ H5 H
Specific factor variance, 特殊因子方差
( L" D4 s) ~. L. {6 k. O pSpectra , 频谱
/ K' j, I& g" [# o m' Q! \' L pSpherical distribution, 球型正态分布5 @0 \8 O' N# W; z
Spread, 展布
C" b. o+ P" ^6 \SPSS(Statistical package for the social science), SPSS统计软件包
! i& a" T; G. T8 x# wSpurious correlation, 假性相关( v) a2 d5 A; x# v5 U% u! R% W
Square root transformation, 平方根变换! p; s5 F- _: [
Stabilizing variance, 稳定方差- e- C7 k- {$ d" G/ P$ g8 t% C
Standard deviation, 标准差
& _% C9 s0 X# U8 a0 WStandard error, 标准误
6 w9 `; D A1 O* eStandard error of difference, 差别的标准误) ~, W# {4 T# L/ z- {( F
Standard error of estimate, 标准估计误差) x+ y) c3 p( Z* N9 q2 U2 X3 N
Standard error of rate, 率的标准误
# w! j8 C9 Y1 d0 b. TStandard normal distribution, 标准正态分布
3 {$ K! Y" t/ X6 Y: jStandardization, 标准化! I# u8 E) ^" Q' _1 c
Starting value, 起始值
" M2 h2 c9 p3 Q$ Z& [. gStatistic, 统计量
6 g4 ]/ H! C, i g9 rStatistical control, 统计控制9 i. V) d, Y! m; v) i
Statistical graph, 统计图4 f, v* K( `/ W8 U6 H% G
Statistical inference, 统计推断% H# O' l3 d/ ^- g$ ]
Statistical table, 统计表
8 i. A- Q% F- g8 P4 h YSteepest descent, 最速下降法1 f- }- h: U; ?, t# o7 S7 p
Stem and leaf display, 茎叶图. R7 o3 x; y; n, P. a) v7 {" S! K, w, A
Step factor, 步长因子
0 V( C n9 r: m$ a& ~Stepwise regression, 逐步回归7 n& S3 w2 p( N& k/ O: f/ J5 _
Storage, 存5 i. Q8 L* A. y4 O3 Y6 y! |
Strata, 层（复数）' C8 ^0 }7 |. @ x8 n( E
Stratified sampling, 分层抽样
7 N% H) v1 i( C7 D) [Stratified sampling, 分层抽样' @3 L) p$ M7 n% n0 z
Strength, 强度
* X6 E9 I0 S' {) ?Stringency, 严密性
; Z/ P+ @6 D- i3 y$ G+ E7 H1 sStructural relationship, 结构关系' L4 H: h" s1 x! ?% Y. F
Studentized residual, 学生化残差/t化残差& [1 ]7 V0 Q/ ^1 n6 q/ N; j
Sub-class numbers, 次级组含量3 C. [ y+ U$ B* {4 u7 K
Subdividing, 分割
6 G' l3 t+ v* d" Y: w d7 D& ~Sufficient statistic, 充分统计量
4 x, O6 D, m, m CSum of products, 积和+ Z0 B6 T; ?: I+ m
Sum of squares, 离差平方和
, x* b; _7 X* gSum of squares about regression, 回归平方和
4 T1 T2 N" I, }Sum of squares between groups, 组间平方和
- z5 t* X" N) gSum of squares of partial regression, 偏回归平方和8 B. K7 `. y; }: S( ]/ j% C; o
Sure event, 必然事件; E7 _* _! V$ ~; M. b9 h
Survey, 调查
- W! e% X) X# p; d+ {2 XSurvival, 生存分析
; A+ @/ k: r6 _( R; DSurvival rate, 生存率! A' v9 e9 @4 y6 ~9 P& E8 q8 L
Suspended root gram, 悬吊根图7 L& ]5 P( o. J- k3 ~# D. }
Symmetry, 对称/ \" h$ i% f4 [; ^* y/ _/ D
Systematic error, 系统误差! Z$ g% `6 g+ R
Systematic sampling, 系统抽样$ ?$ e" [4 K/ {7 H1 s( X
Tags, 标签4 q2 H* z: B6 Q3 g
Tail area, 尾部面积- \6 j1 p7 `# q/ a* s4 Q7 z
Tail length, 尾长' B# Q. o. h5 H. t4 b, Q! Y9 p2 g
Tail weight, 尾重) [' e7 K2 c. x- m9 ^" a% t
Tangent line, 切线
) L7 l3 y# g6 n, V% _Target distribution, 目标分布
8 W& j2 h) l) v G$ }3 c/ n7 qTaylor series, 泰勒级数: I9 J/ a$ C( G( |2 J0 K
Tendency of dispersion, 离散趋势
0 }7 e% q+ n' y. VTesting of hypotheses, 假设检验/ T4 `) y" Z3 d6 M; C: c6 m1 K" j1 R/ f
Theoretical frequency, 理论频数6 v% o$ c+ _$ x M+ C0 R5 j- f
Time series, 时间序列. Y6 t2 i! `0 D0 s/ f
Tolerance interval, 容忍区间8 l; t& S& i3 }
Tolerance lower limit, 容忍下限
4 |, }3 [% `( H/ C8 }5 }0 HTolerance upper limit, 容忍上限: S- t2 w# `4 S5 q5 ^( G0 a! q
Torsion, 扰率$ @* L2 ~. d+ m. n
Total sum of square, 总平方和$ Y$ F/ P( o/ }* S. _0 F& i
Total variation, 总变异
# n! r/ e$ S5 \' F; dTransformation, 转换1 @/ M0 b( X2 z3 l9 W# N6 B
Treatment, 处理
: y& H0 v% U; I4 {7 NTrend, 趋势" G- m( R5 l4 I/ [/ c5 l, t
Trend of percentage, 百分比趋势" V# R& S& G7 m( j7 N7 {
Trial, 试验! f5 Y8 D9 |, X1 z
Trial and error method, 试错法
. A5 i5 d& w. G. p) `Tuning constant, 细调常数- h& |2 A) F- d$ Y
Two sided test, 双向检验
6 |! `9 g4 I& WTwo-stage least squares, 二阶最小平方9 N* e6 c" C, k8 @9 I, y# B: `) Q4 `
Two-stage sampling, 二阶段抽样
' `( W2 @ W) B5 kTwo-tailed test, 双侧检验& Q" E( z' h9 l3 [7 \4 e" O
Two-way analysis of variance, 双因素方差分析
0 S8 Z3 h) p: j0 g! r; DTwo-way table, 双向表5 ], g- b3 V* e& P4 C7 `) i
Type I error, 一类错误/α错误* i. I, v5 W/ I, w1 L
Type II error, 二类错误/β错误2 n& I6 o5 L/ V! u: a6 v' v
UMVU, 方差一致最小无偏估计简称
( V7 t+ g1 J s* TUnbiased estimate, 无偏估计+ l- Y( i! {+ `4 O1 ^
Unconstrained nonlinear regression , 无约束非线性回归
# N% r" W+ b6 s/ N1 TUnequal subclass number, 不等次级组含量
: A& z! y/ `6 h" a; [Ungrouped data, 不分组资料# C) g; ]$ B% Z# o f7 m
Uniform coordinate, 均匀坐标
6 L8 N$ t9 l- U2 K( P% GUniform distribution, 均匀分布- x1 Z) A4 j7 O" t0 l7 `
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计5 |' P# x) u6 P) F. A
Unit, 单元3 Q5 g% n( f4 e; G
Unordered categories, 无序分类
( q, l9 u. x- YUpper limit, 上限. o$ {/ o8 z) \9 I% ]# o
Upward rank, 升秩7 L7 p" ^& |$ I4 ]: Q) q
Vague concept, 模糊概念
* y* C" K* {4 w5 c/ M5 y: _8 B1 P7 vValidity, 有效性4 x9 Q# x# ~- q3 B
VARCOMP (Variance component estimation), 方差元素估计$ l- j' _2 \' _( h. Y" Z
Variability, 变异性2 e' r! @# O8 f* Q8 f
Variable, 变量
" S' o0 v! B+ Y& C/ qVariance, 方差# t- t# w- P- Z4 f0 E1 s
Variation, 变异
7 t" k. F v6 u0 c5 z; RVarimax orthogonal rotation, 方差最大正交旋转7 {' b3 d% w a- }# r* [8 d1 d
Volume of distribution, 容积6 ^) M# h, f( x3 c6 X
W test, W检验1 o, _- \) O7 l: s7 G
Weibull distribution, 威布尔分布7 s2 L" S& W5 n6 Z/ b& D
Weight, 权数
5 J5 K# o# F+ TWeighted Chi-square test, 加权卡方检验/Cochran检验) b' v( b2 q2 J! G+ C1 s! e
Weighted linear regression method, 加权直线回归
4 ?& n: n# B% l& E b! kWeighted mean, 加权平均数
}' Y! h& `4 n1 ]Weighted mean square, 加权平均方差
* M7 R! p4 o$ o* r8 N% Y# |! aWeighted sum of square, 加权平方和
( t r$ j! @! E! t& eWeighting coefficient, 权重系数' y+ O# [7 a* d# g: L
Weighting method, 加权法
3 S/ U! o8 u& W# ^" _6 I- fW-estimation, W估计量$ r! j5 M- f7 n% q! l4 f, f8 g
W-estimation of location, 位置W估计量
3 f7 D% \" J2 N+ T* m: A5 ~Width, 宽度8 b0 v4 F0 J/ ]4 y" s- f
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验( H; U1 b$ F$ G! {% S
Wild point, 野点/狂点* z. }, x. N( E0 ^& q
Wild value, 野值/狂值0 E# P* x) V' m B6 S
Winsorized mean, 缩尾均值# S% n {! ]* N# }% {1 I2 F& z
Withdraw, 失访 # q3 U; m# ]. O( n
Youden's index, 尤登指数
' u% f! I; Z, s* j; P! w3 z1 CZ test, Z检验
+ x% r1 ~+ k' x: c( \& s- A) M; [: CZero correlation, 零相关
4 X: U' [6 \! g1 K; s' CZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
